You can use the convenience variables from `fastapi.status`.

{* ../../docs_src/response_status_code/tutorial002_py39.py hl[1,6] *}

They are just a convenience, they hold the same number, but that way you can use the editor's autocomplete to find them:

<img src="/img/tutorial/response-status-code/image02.png">

/// note | Technical Details

You could also use `from starlette import status`.

        } else {
            // Direct version comparison and upgrade
            if (isVersionBelow(currentVersion, upgrade.minVersion)) {
                Editor editor = new Editor(pomDocument);
                editor.setTextContent(versionElement, upgrade.minVersion);
                context.detail("Upgraded " + upgrade.groupId + ":" + upgrade.artifactId + " from " + currentVersion

Flask, Starlette, Responder ve benzerlerinde bu şekilde çalışıyor.

Fakat sonrasında yine mikro sözdizimi problemiyle karşılaşıyoruz. Python metinlerinin içinde koskoca bir YAML oluyor.

Editör bu konuda pek yardımcı olamaz. Üstelik eğer parametreleri ya da Marshmallow şemalarını değiştirip YAML kodunu güncellemeyi unutursak artık döküman geçerliliğini yitiriyor.

/// info | Bilgi

 *
 * <p>This class recursively discovers all POM files in a Maven project hierarchy
 * and loads them as domtrip Documents. Individual strategies can create domtrip Editors
 * from these Documents as needed for superior formatting preservation.
 */
public class PomDiscovery {

    private PomDiscovery() {
        // noop
    }

    /**

{* ../../docs_src/response_status_code/tutorial002_py39.py hl[1,6] *}

Diese sind nur eine Annehmlichkeit, sie enthalten dieselbe Zahl, aber so können Sie die Autovervollständigung Ihres Editors verwenden, um sie zu finden:

<img src="/img/tutorial/response-status-code/image02.png">

/// note | Technische Details

Sie könnten auch `from starlette import status` verwenden.

These functions are there (instead of just using the classes directly) so that your editor doesn't mark errors about their types.

That way you can use your normal editor and coding tools without having to add custom configurations to disregard those errors.

E ele gera schemas OpenAPI.

É assim como funciona no Flask, Starlette, Responder, etc.

Mas então, temos novamente o problema de ter uma micro-sintaxe, dentro de uma string Python (um grande YAML).

O editor não pode ajudar muito com isso. E se modificarmos parâmetros ou schemas do Marshmallow e esquecermos de também modificar aquela docstring em YAML, o schema gerado ficaria obsoleto.

/// info | Informação

      "xn--a",
      "xn--a.ß",
      "xn--a.xn--zca",
      "xn--a-yoc",
      // OkHttp doesn't reject U+FFFD encoded in Punycode.
      "xn--zn7c.com",
      // OkHttp doesn't reject a U+200D. https://www.rfc-editor.org/rfc/rfc5892.html#appendix-A.2
      "xn--1ug.example",
      // OkHttp doesn't implement CheckJoiners.
      "\u200D.example",
      // OkHttp doesn't implement CheckBidi.
      "يa",
    )

  @Test

* в <a href="https://code.visualstudio.com/" class="external-link" target="_blank">Visual Studio Code</a>:

![editor support](https://fastapi.tiangolo.com/img/vscode-completion.png)

* в <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a>:

![editor support](https://fastapi.tiangolo.com/img/pycharm-completion.png)

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

## Other data types { #other-data-types }